IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
2efbae2
verified
| { | |
| "config": { | |
| "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.3.1+rocm5.7", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "token-classification", | |
| "library": "transformers", | |
| "model_type": "deberta-v2", | |
| "model": "microsoft/deberta-v3-base", | |
| "processor": "microsoft/deberta-v3-base", | |
| "device": "cuda", | |
| "device_ids": "6", | |
| "seed": 42, | |
| "inter_op_num_threads": null, | |
| "intra_op_num_threads": null, | |
| "model_kwargs": {}, | |
| "processor_kwargs": {}, | |
| "no_weights": true, | |
| "device_map": null, | |
| "torch_dtype": null, | |
| "eval_mode": true, | |
| "to_bettertransformer": false, | |
| "low_cpu_mem_usage": null, | |
| "attn_implementation": null, | |
| "cache_implementation": null, | |
| "autocast_enabled": false, | |
| "autocast_dtype": null, | |
| "torch_compile": false, | |
| "torch_compile_target": "forward", | |
| "torch_compile_config": {}, | |
| "quantization_scheme": null, | |
| "quantization_config": {}, | |
| "deepspeed_inference": false, | |
| "deepspeed_inference_config": {}, | |
| "peft_type": null, | |
| "peft_config": {} | |
| }, | |
| "scenario": { | |
| "name": "inference", | |
| "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario", | |
| "iterations": 1, | |
| "duration": 1, | |
| "warmup_runs": 1, | |
| "input_shapes": { | |
| "batch_size": 1, | |
| "num_choices": 2, | |
| "sequence_length": 2 | |
| }, | |
| "new_tokens": null, | |
| "memory": true, | |
| "latency": true, | |
| "energy": false, | |
| "forward_kwargs": {}, | |
| "generate_kwargs": { | |
| "max_new_tokens": 2, | |
| "min_new_tokens": 2 | |
| }, | |
| "call_kwargs": { | |
| "num_inference_steps": 2 | |
| } | |
| }, | |
| "launcher": { | |
| "name": "process", | |
| "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher", | |
| "device_isolation": true, | |
| "device_isolation_action": "warn", | |
| "numactl": false, | |
| "numactl_kwargs": {}, | |
| "start_method": "spawn" | |
| }, | |
| "environment": { | |
| "cpu": " AMD EPYC 7763 64-Core Processor", | |
| "cpu_count": 128, | |
| "cpu_ram_mb": 1082015.256576, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-5.15.0-101-generic-x86_64-with-glibc2.35", | |
| "processor": "x86_64", | |
| "python_version": "3.10.12", | |
| "gpu": [ | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]" | |
| ], | |
| "gpu_count": 8, | |
| "gpu_vram_mb": 549621596160, | |
| "optimum_benchmark_version": "0.4.0", | |
| "optimum_benchmark_commit": null, | |
| "transformers_version": "4.44.2", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.34.2", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.30.3", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "1.0.9", | |
| "timm_commit": null, | |
| "peft_version": "0.12.0", | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "load": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1092.231168, | |
| "max_global_vram": 68702.69952, | |
| "max_process_vram": 50606.923776, | |
| "max_reserved": 773.849088, | |
| "max_allocated": 736.603648 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 1, | |
| "total": 9.087361328125, | |
| "mean": 9.087361328125, | |
| "stdev": 0.0, | |
| "p50": 9.087361328125, | |
| "p90": 9.087361328125, | |
| "p95": 9.087361328125, | |
| "p99": 9.087361328125, | |
| "values": [ | |
| 9.087361328125 | |
| ] | |
| }, | |
| "throughput": null, | |
| "energy": null, | |
| "efficiency": null | |
| }, | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1226.36288, | |
| "max_global_vram": 68702.69952, | |
| "max_process_vram": 304651.546624, | |
| "max_reserved": 773.849088, | |
| "max_allocated": 745.086976 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 75, | |
| "total": 1.009017868041992, | |
| "mean": 0.01345357157389323, | |
| "stdev": 0.0006327790162646989, | |
| "p50": 0.013215706825256348, | |
| "p90": 0.014441053009033204, | |
| "p95": 0.01484823760986328, | |
| "p99": 0.015310178318023681, | |
| "values": [ | |
| 0.015092510223388672, | |
| 0.015324030876159668, | |
| 0.015305311203002929, | |
| 0.013855547904968261, | |
| 0.013578106880187988, | |
| 0.013348986625671386, | |
| 0.013146745681762695, | |
| 0.01325042724609375, | |
| 0.013054265975952148, | |
| 0.013274427413940429, | |
| 0.013152345657348633, | |
| 0.013303545951843262, | |
| 0.014682589530944824, | |
| 0.013122105598449707, | |
| 0.01284178638458252, | |
| 0.01302354621887207, | |
| 0.012885465621948242, | |
| 0.012901946067810059, | |
| 0.012877145767211913, | |
| 0.013172025680541993, | |
| 0.012920346260070801, | |
| 0.012919706344604492, | |
| 0.012935385704040528, | |
| 0.013158746719360351, | |
| 0.012949146270751954, | |
| 0.012905466079711913, | |
| 0.01291762638092041, | |
| 0.0131878662109375, | |
| 0.012954106330871582, | |
| 0.012987386703491212, | |
| 0.012974905967712402, | |
| 0.012982585906982421, | |
| 0.012963226318359375, | |
| 0.013027226448059082, | |
| 0.013298267364501954, | |
| 0.012869786262512208, | |
| 0.013123226165771485, | |
| 0.013215706825256348, | |
| 0.013444506645202636, | |
| 0.013903708457946777, | |
| 0.013630746841430664, | |
| 0.013191547393798828, | |
| 0.012913466453552246, | |
| 0.012997145652770997, | |
| 0.013505467414855957, | |
| 0.01376722812652588, | |
| 0.013524666786193847, | |
| 0.013501947402954101, | |
| 0.013794588088989259, | |
| 0.014035708427429199, | |
| 0.013535866737365723, | |
| 0.013441946983337403, | |
| 0.0136219482421875, | |
| 0.013473306655883789, | |
| 0.013364347457885742, | |
| 0.012968985557556153, | |
| 0.013141945838928222, | |
| 0.01296194553375244, | |
| 0.012930425643920898, | |
| 0.013377946853637695, | |
| 0.012966586112976073, | |
| 0.012971225738525391, | |
| 0.014436348915100098, | |
| 0.014646909713745116, | |
| 0.014316509246826172, | |
| 0.013722427368164062, | |
| 0.013584667205810547, | |
| 0.014444189071655273, | |
| 0.014346267700195313, | |
| 0.0151705904006958, | |
| 0.014743549346923828, | |
| 0.013758907318115235, | |
| 0.013405787467956542, | |
| 0.012992506027221679, | |
| 0.01299842643737793 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 74.32970453292184 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |